Title :
Edge detection using generalized higher-order statistics
Author :
Carrato, Sergio ; Ramponi, Giovanni
Author_Institution :
Trieste Univ., Italy
Abstract :
A local operator is proposed which is able to extract the edges in an image through the evaluation of generalized higher-order statistical moments of the data. These moments are used for analyzing the asymmetry of the distribution of the data present in a small mask which scans the image. The advantage of the proposed algorithm is its robustness with respect to symmetrically distributed noise. Experimental results are reported which confirm the validity of the approach.
Keywords :
edge detection; noise; statistical analysis; algorithm; edge detection; generalized higher-order statistics; image processing; local operator; robustness; symmetrically distributed noise; Application software; Computer vision; Data mining; Higher order statistics; Image analysis; Image coding; Image edge detection; Image processing; Noise robustness; Pattern recognition;
Conference_Titel :
Higher-Order Statistics, 1993., IEEE Signal Processing Workshop on
Conference_Location :
South Lake Tahoe, CA, USA
Print_ISBN :
0-7803-1238-4
DOI :
10.1109/HOST.1993.264595
